Closed-loop subcutaneous insulin infusion algorithm with a short-acting insulin analog for long-term clinical application of a wearable artificial endocrine pancreas.

By S. Shimoda, K. Nishida, M. Sakakida, Y. Konno, K. Ichinose, M. Uehara, T. Nowak, M. Shichiri. 1997

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A Reinforcement Learning–Based Method for Management of Type 1 Diabetes: Exploratory Study (2019, neutral): “Possible actions are coded based on 6 Lantus dosage ranges: a 1t =[6,15), a 2t =[15,20), a 3t =[20,30), a 4t =[30,40)”
A Survey of Insulin-Dependent Diabetes—Part II: Control Methods (2008, methodology): “The diabetes advisory system (DIAS) is a nonlinear model of the blood glucose-insulin system based upon real-life parameters, versus simply BG measurements [21].”
A Critical Assessment of Algorithms and Challenges in the Development of a Closed-Loop Artificial Pancreas (2005, unknown): “Shimoda et al. 33 have applied a PD al-gorithm to type 1 diabetes mellitus patients.”
Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes. (2004, background): “…infused insulin (Cobelli and Mari 1985) and only with the availability of short-acting insulin (Howey et al 1994) could the next generation of control algorithms have been developed (Brunetti et al 1993, Candas and Radziuk 1994, Shichiri et al 1998, Shimoda et al 1997, Trajanoski and Wach 1998).”